Data ingestion

The data ingestion component plays a crucial role in acquiring data from diverse sources, including structured, semi-structured, and unstructured formats, such as databases, knowledge graph, social media, file storage, and IoT devices. Its primary responsibility is to store this data persistently in various storage solutions like object data storage (e.g., Amazon S3), data warehouses, or other data stores. Effective data ingestion patterns should incorporate both real-time streaming and batch ingestion mechanisms to cater to different types of data sources and ensure timely and efficient data acquisition.Various data ingestion technologies and tools cater to different ingestion patterns. For streaming data ingestion, popular choices include Apache Kafka, Apache Spark Streaming, and Amazon Kinesis/Kinesis Firehose. These tools enable real-time data ingestion and processing. On the other hand, for batch-oriented data ingestion, tools like Secure File Transfer Protocol (SFTP...